Build AI agents.
Deploy them.
Your MCP server. Your tools. Accessible from Claude or from your SaaS.
Before
- Your "AI feature" is a wrapper around an API call
- No idea how to build an MCP server
- Agents that work in a demo and break in production
- You don't know how to give your agents real tools
After
- Your own MCP server deployed and running
- Agents with tools, memory, and guardrails in production
- Accessible from Claude, from your SaaS, or from any MCP client
- Architecture you understand because you built it yourself
The SaaS Architecture course, but for AI agents.
The syllabus
What you'll build
Module 1
Your own MCP server
Build an MCP server from scratch. Expose your tools so they work from Claude Desktop, your SaaS, or any MCP client.
Module 2
Custom tools
Create real tools for your agents. API calls, database queries, code execution, web scraping. Not wrappers — real capabilities.
Module 3
Agent architecture patterns
ReAct, planning, routing, guardrails. The patterns that make agents reliable, not just impressive in demos.
Module 4
Memory & RAG
Vector databases, embeddings, conversation history. Build agents that remember context and learn from interactions.
Module 5
Multi-agent systems
Orchestrate multiple agents. Supervisor patterns, delegation, consensus. Systems that coordinate, not individual bots.
Module 6
Deploy to production
Docker, server deployment, monitoring. Your agents running on a real server, accessible from anywhere.
How it works
Leave your email
We'll send you the complete syllabus with everything the course covers.
Build your agent system
MCP server, tools, memory, multi-agent orchestration. You build it, you understand it.
Deploy to production
Your agents running on a real server. Usable from Claude, your SaaS, or any client.
Ready to build your own AI agents?
Leave your email and we'll send you the complete course syllabus.